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13th ACM Multimedia Systems Conference (MMSys)

作者： Alamgeer, Sana Irshad, Muhammad Farias, Mylene C. Q. Univ Brasilia Dept Elect Engn Brasilia DF Brazil

ISBN: (纸本)9781450392839

This paper contains the research proposal of Sana Alamgeer that was presented at the MMSys 2022 doctoral symposium. Unlike regular images that represent only light intensities, light field (LF) contents carry information about the intensity of light in a scene, including the direction light rays are traveling in space. This allows for a richer representation of our world, but requires large amounts of data that need to be processed and compressed before being transmitted to the viewer. Since these techniques may introduce distortions, the design of light field Image Quality Assessment (LF-IQA) methods is important. The majority of LF-IQA methods based on traditional Convolutional Neural Network (CNN) have limitations, i.e. they are unable to increase the receptive field of a neuron-pixel to model non-local image features. In this work, we propose a novel no-reference LF-IQA method that is based on deep Graph Convolutional Neural Network (GCNN). Our method not only takes into account both LF angular and spatial information, but also learns the order of pixel information. Specifically, the method is composed of one input layer that takes a pair of graphs and their corresponding subjective quality scores as labels, 4 GCNN layers, fully connected layers, and a regression block for quality prediction. Our aim is to develop the quality prediction method with maximum accuracy for distorted LF content.

关键词： 4d light field Image Quality Assessment Graph Convolutional Neural Network Epipolar Plane Images

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light field image quality assessment method based on deep graph convolutional neural network: research proposal 22

Light field image quality assessment method based on deep gr...

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Proceedings of the 13th ACM Multimedia Systems Conference

作者： Sana Alamgeer Muhammad Irshad Mylène C. Q. Farias University of Brasília Brazil

ISBN: (纸本)9781450392839

关键词： 4d light field

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Acquiring 4d light fields of Self-Luminous Extended light Sources Using Programmable Filter

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IEICE TRANSACTIONS ON INFORMATION ANd SYSTEMS 2016年第9期E99D卷 2360-2367页

作者： Nakamura, Motohiro Oya, Shinnosuke Okabe, Takahiro Lensch, Hendrik P. A. Kyushu Inst Technol Dept Artificial Intelligence Iizuka Fukuoka 8208502 Japan Univ Tubingen Comp Graph Grp Tubingen Germany

Self-luminous light sources in the real world often have nonnegligible sizes and radiate light inhomogeneously. Acquiring the model of such a light source is highly important for accurate image synthesis and understanding. In this paper, we propose an approach to measuring 4d light fields of self-luminous extended light sources by using a liquid crystal ( LC) panel, i.e. a programmable optical filter and a diffuse-reflection board. The proposed approach recovers the 4d light field from the images of the board illuminated by the light radiated from a light source and passing through the LC panel. We make use of the feature that the transmittance of the LC panel can be controlled both spatially and temporally. The approach enables multiplexed sensing and adaptive sensing, and therefore is able to acquire 4d light fields more efficiently and densely than the straightforward method. We implemented the prototype setup, and confirmed through a number of experiments that our approach is effective for modeling self-luminous extended light sources in the real world.

关键词： 4d light field extended light source programmable filter multiplexed sensing adaptive sensing

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Acquiring 4d light fields of Self-Luminous light Sources Using Programmable Filter 13

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13th European Conference on Computer Vision (ECCV)

作者： Nakamura, Motohiro Okabe, Takahiro Lensch, Hendrik P. A. Kyushu Inst Technol Iizuka Fukuoka Japan Univ Tubingen Tubingen Germany

ISBN: (纸本)9783319161815;9783319161808

Self-luminous light sources in the real world often have non-negligible sizes and radiate light inhomogeneously. Acquiring the model of such a light source is highly important for accurate image synthesis and understanding. In this paper, we propose a method for measuring 4d light fields of self-luminous extended light sources by using a liquid crystal (LC) panel, i.e. a programmable filter and a diffuse-reflection board. The proposed method recovers the 4d light field from the images of the board illuminated by the light radiated from a light source and passing through the LC panel. We make use of the feature that the transmittance of the LC panel can be controlled both spatially and temporally. The proposed method enables us to utilize multiplexed sensing, and therefore is able to acquire 4d light fields more efficiently and densely than the straightforward method. We implemented the prototype setup, and confirmed through a number of experiments that the proposed method is effective for modeling self-luminous extended light sources in the real world.

关键词： Self-luminous light source Extended light source 4d light field Programmable filter Multiplexed sensing

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Restoring the spatial resolution of refocus images on 4d light field

Restoring the spatial resolution of refocus images on 4D lig...

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Conference on Computational Imaging VIII

作者： Lim, JaeGuyn Park, ByungKwan Kang, JooYoung Lee, Seongdeok SAMSUNG Advanced Institute of Technology (Korea Republic of)

ISBN: (纸本)9780819479266

This paper presents the method for generating a refocus image with restored spatial resolution on a plenoptic camera, which functions controlling the depth of field after capturing one image unlike a traditional camera. It is generally known that the camera captures 4d light field (angular and spatial information of light) within a limited 2d sensor and results in reducing 2d spatial resolution due to inevitable 2d angular data. That's the reason why a refocus image is composed of a low spatial resolution compared with 2d sensor. However, it has recently been known that angular data contain sub-pixel spatial information such that the spatial resolution of 4d light field can be increased. We exploit the fact for improving the spatial resolution of a refocus image. We have experimentally scrutinized that the spatial information is different according to the depth of objects from a camera. So, from the selection of refocused regions (corresponding depth), we use corresponding pre-estimated sub-pixel spatial information for reconstructing spatial resolution of the regions. Meanwhile other regions maintain out-of-focus. Our experimental results show the effect of this proposed method compared to existing method.

关键词： Refocus image 4d light field super-resolution fusion

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IMPROVING THE SPATAIL RESOLUTION BASEd ON 4d light field dATA

IMPROVING THE SPATAIL RESOLUTION BASED ON 4D LIGHT FIELD DAT...

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16th IEEE International Conference on Image Processing

作者： Lim, JaeGuyn Ok, HyunWook Park, ByungKwan Kang, JooYoung Lee, Seongdeok Samsung Adv Inst Technol Multimedia Lab Digital Imaging Grp Seoul South Korea

ISBN: (纸本)9781424456536

This paper presents why the spatial resolution of an image captured by a plenoptic camera can be improved. The plenoptic camera captures the 4d light field (angular and spatial information of light) within a limited 2d sensor and results in reducing 2d spatial resolution due to inevitable 2d angular data. However, for improving the reduced resolution, we propose a novel analysis that 2d angular data contain spatially subpixel-shifted information. Although angular data have been defined as light's set radiated from one spatial point in a scene theoretically, practical angular data captured by plenoptic camera consist of spatially different minuscule area. That is, angular data provide the redundant data used generally by super-resolution techniques. Our experimental results demonstrate the improvement of spatial resolution as well as the existence of spatial information within 2d angular data.

关键词： 4d light field plenoptic camera super-resolution sub-pixel shift

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